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Comparison · Infra & APIs

goodpractice vs pool

A side-by-side editorial comparison of goodpractice and pool — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

goodpractice vs pool: at a glance

Featuregoodpracticepool
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescode-quality, static-analysis, r-package, ropenscidatabase, connection-pooling, dbplyr-compat, r-package
Last editorial update50m ago1h ago
WebsiteVisit →Visit →

What is goodpractice?

The R package-quality checker returns from CRAN limbo with checks you can select by category.

goodpractice runs a battery of static checks over an R package — style, complexity, test coverage, documentation, DESCRIPTION hygiene — and reports what a reviewer would flag. The package was archived on CRAN, adopted by rOpenSci in 1.0.5, and version 1.1 is the first substantive release since: every check now belongs to one of 16 named groups, discoverable via all_check_groups() and selectable via checks_by_group(), with group-level exclusion through an option or environment variable and new default_checks() and tidyverse_checks() presets.

Read the full goodpractice trajectory →

What is pool?

Hit 1.0, relicensed to MIT, and has shipped almost nothing but dbplyr compatibility since.

pool manages database connection pools for R, and its 1.0.0 release in early 2023 was the last time it changed meaningfully: MIT relicensing, an onCreate hook for every new connection, localCheckout(), the dbplyr 2.0 interface, and a validation interval cut from 600s to 60s. The five releases since are almost entirely about staying compatible with DBI and dbplyr as those packages evolve — the most recent, 1.0.5, is a single line of forward-compatibility for dbplyr's upcoming dialect-based dispatch.

Read the full pool trajectory →

goodpractice vs pool: editorial side-by-side

G
goodpractice
INFRA · APIS
0.0

The R package-quality checker returns from CRAN limbo with checks you can select by category.

◆ Current state

goodpractice runs a battery of static checks over an R package — style, complexity, test coverage, documentation, DESCRIPTION hygiene — and reports what a reviewer would flag. The package was archived on CRAN, adopted by rOpenSci in 1.0.5, and version 1.1 is the first substantive release since: every check now belongs to one of 16 named groups, discoverable via all_check_groups() and selectable via checks_by_group(), with group-level exclusion through an option or environment variable and new default_checks() and tidyverse_checks() presets.

◆ Where it's heading

The direction is from a monolithic verdict toward a configurable one. Previously the practical choices were run everything or name individual checks; grouping makes partial adoption tractable, which matters because the full battery is opinionated enough that teams either accept all of it or ignore the tool. The tidyverse_checks() preset makes that explicit — the package is acknowledging that its defaults encode one house style among several. Earlier releases pointed the same way with a configurable cyclomatic complexity limit and adjustable output length.

◆ Prediction

With grouping and presets in place, the natural next step is per-project persistent configuration so exclusions live in the repository rather than in an option or environment variable.

P
pool
INFRA · APIS
0.0

Hit 1.0, relicensed to MIT, and has shipped almost nothing but dbplyr compatibility since.

◆ Current state

pool manages database connection pools for R, and its 1.0.0 release in early 2023 was the last time it changed meaningfully: MIT relicensing, an onCreate hook for every new connection, localCheckout(), the dbplyr 2.0 interface, and a validation interval cut from 600s to 60s. The five releases since are almost entirely about staying compatible with DBI and dbplyr as those packages evolve — the most recent, 1.0.5, is a single line of forward-compatibility for dbplyr's upcoming dialect-based dispatch.

◆ Where it's heading

This is a component that has reached its useful shape and now moves only when the packages around it move. Every post-1.0 entry is either a dependency floor being raised, a generic being wrapped, or an example being rewritten. The one thing worth watching is that pool has to implement each new dbplyr and DBI generic by hand, so its release cadence is set by that upstream surface rather than by its own roadmap.

◆ Prediction

The next release will almost certainly be another dbplyr or DBI compatibility pass, most likely completing the dialect-based dispatch work that 1.0.5 prepared for. Nothing in these entries suggests new pooling capability is planned.

Alternatives to goodpractice and pool

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either goodpractice or pool.

See all goodpractice alternatives → · See all pool alternatives →

Recent activity from goodpractice and pool

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agogoodpracticeChecks organized into 16 selectable groups with presets
  2. 2mo agopoolPrepares for dbplyr's dialect-based dispatch
  3. 1y agopoolExamples switched from hosted MySQL to local SQLite
  4. 2y agogoodpracticerOpenSci takes over maintenance, package restored to CRAN
  5. 2y agopoolRequires DBI 1.2.0; warns on outdated dbplyr
  6. 2y agopoolAdds Arrow-returning DBI generics; drops withr dependency
  7. 3y agopoolcopy_to() returns a pool-backed table
  8. 3y agopool1.0: MIT relicense, onCreate hook, dbplyr 2.0 interface
  9. 4y agogoodpracticeConfigurable cyclomatic complexity limit and output length
  10. 5y agogoodpracticePackage logo added

Frequently asked questions

What is the difference between goodpractice and pool?

Both compete on the same themes — r-package — within Infra & APIs. goodpractice and pool are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is goodpractice better than pool?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. goodpractice and pool are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to goodpractice?

Top goodpractice alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "goodpractice alternatives" section above for the current picks, or visit /alternatives/goodpractice for the full list with editorial commentary on each.

What are the best alternatives to pool?

Top pool alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "pool alternatives" section above for the current picks, or visit /alternatives/pool for the full list with editorial commentary on each.